Book Image

Big Data Analytics with Java

Book Image

Big Data Analytics with Java


Overview of this book

This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.
Table of Contents (21 chapters)
Big Data Analytics with Java
About the Author
About the Reviewers
Customer Feedback
Free Chapter
Big Data Analytics with Java
Ensembling on Big Data
Real-Time Analytics on Big Data

Chapter 4. Basics of Machine Learning

Any form of any analytical activity depends heavily on the presence of some clues or data. In today's world data is bountifully available. Due to the broad availability of various devices (such as mobile devices), IoT devices, or social network, the amount of data generated day by day is exploding. This data is not all waste; it can be used to make lots of deductions. For example, we can use this data to figure out what particular ad the user might click on next or what item the user might like to purchase along with the item they are already purchasing currently. This data can help us figure out a knowledge base that can directly impact the core business in many useful ways, hence it is very important.

This chapter is action-packed and we will try to cover a lot of ground while learning the basics. In this chapter, we will cover:

  • Basic concepts of machine learning such as what machine learning is, how it is used, and different forms of machine learning...